metadata
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/blip-vqa-base
tags:
- generated_from_trainer
model-index:
- name: blip-vqa-rad-checkpoints
results: []
blip-vqa-rad-checkpoints
This model is a fine-tuned version of Salesforce/blip-vqa-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2937
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5519 | 1.0 | 897 | 3.2781 |
| 3.3939 | 2.0 | 1794 | 3.1030 |
| 2.8817 | 3.0 | 2691 | 3.1648 |
| 2.4931 | 4.0 | 3588 | 3.1978 |
| 2.5096 | 5.0 | 4485 | 3.2937 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0